Drimva

Capital One

Director, Full-Stack Engineer

$269K–$335K

McLean, VA +1 · Director · Full-time · Posted Sep 22, 2026

Location
McLean, VA
San Francisco, CA
Experience
At least 5 years of people management; at least 7 years in each of the listed technical areas. Preferred experience includes multiple requirements ranging from 2 to 10+ years, as stated in the posting.
Education
Bachelor's Degree or higher in Computer Science or a related quantitative field; preferred Master’s Degree in Computer Science or Software Engineering.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Leads multiple engineering teams and shapes technical strategy and architecture for scalable, cloud-based banking platforms.

What you'll do

  • Manage, mentor, and grow multiple teams of product-focused software engineers while driving talent strategy.
  • Guide architecture and delivery of full-stack solutions, including cloud deployments and migration from monoliths to microservices.
  • Set platform strategy and standards, and lead efforts to improve resilience, scalability, engineering practices, and delivery velocity.

What they ask for

  • Bachelor's degree or higher in Computer Science or a related quantitative field.
  • At least 5 years of people management experience.
  • At least 7 years of experience in software engineering and solution architecture, enterprise architecture and design patterns, cloud computing, and data architecture.

Nice to have

  • Master’s degree in Computer Science or Software Engineering.
  • Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges.

Pay

$269,100 - $307,200 USD base salary (McLean, VA); $293,600 - $335,100 USD base salary (San Francisco, CA)

Tools

AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Python, Rust

AI focus

Preferred expertise applying agentic AI coding tools to systemic development challenges; preferred experience designing and building distributed HPC and ML systems.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)